AML solutions typically rely on rule-based systems [1]} to alert suspicious cases based on requirements set by international regulatory agencies, such as the Financial Action Task Force (FATF). Rules are self-explainable, which is often a requirement for auditioners. Investigators subsequently review the alerts and decide whether they are indeed suspicious (i.e., true positives) or false alarms (i.e., false positives). For each true positive, investigators must file a suspicious activity report (SAR). While rule systems have the advantage of interpretability, their simplicity has the drawback of generating many false positives [2]} with reported false positives rates around 95–98% [3]}.
